The documentation for PHAssetChangeRequest.revertAssetContentToOriginal says it will fail if the original asset content is not on the current device so you should use PHAssetResourceManager to download it first, but this no longer seems to be the case in the latest iOS versions because an error no longer occurs when I take a photo on my iPhone, edit it, open Photos on my iPad and let it sync, then open my app on iPad and call revertAssetContentToOriginal for that asset. Does the system now take care of downloading the original when needed?

Hi, I'm developing an application for macos and ios that has to run DetectHumanBodyPose3DRequest model in real time for retrieving the 3d skeleton from the camera. I'm experiencing a memory leak every time the model is used (when i comment that line, the memory stays constant). After a minute it uses about 1GB of ram running with mac catalyst. I attached a minimal project that has this problem Code Camera View import SwiftUI import Combine import Vision struct CameraView: View { @StateObject private var viewModel = CameraViewModel() var body: some View { HStack { ZStack { GeometryReader { geometry in if let image = viewModel.currentFrame { Image(decorative: image, scale: 1) .resizable() .scaledToFill() .frame(width: geometry.size.width, height: geometry.size.height) .clipped() } else { ProgressView() } } } } } } class CameraViewModel: ObservableObject { @Published var currentFrame: CGImage? @Published var frameRate: Double = 0 @Published var currentVisionBodyPose: HumanBodyPose3DObservation? // Store current body pose @Published var currentImageSize: CGSize? // Store current image size private var cameraManager: CameraManager? private var humanBodyPose = HumanBodyPose3DDetector() private var lastClassificationTime = Date() private var frameCount = 0 private var lastFrameTime = Date() private let classificationThrottleInterval: TimeInterval = 1.0 private var lastPoseSendTime: Date = .distantPast init() { cameraManager = CameraManager() startPreview() startClassification() } private func startPreview() { Task { guard let previewStream = cameraManager?.previewStream else { return } for await frame in previewStream { let size = CGSize(width: frame.width, height: frame.height) Task { @MainActor in self.currentFrame = frame self.currentImageSize = size self.updateFrameRate() } } } } private func startClassification() { Task { guard let classificationStream = cameraManager?.classificationStream else { return } for await pixelBuffer in classificationStream { self.classifyFrame(pixelBuffer: pixelBuffer) } } } private func classifyFrame(pixelBuffer: CVPixelBuffer) { humanBodyPose.runHumanBodyPose3DRequestOnImage(pixelBuffer: pixelBuffer) { [weak self] observation in guard let self = self else { return } DispatchQueue.main.async { if let observation = observation { self.currentVisionBodyPose = observation print(observation) } else { self.currentVisionBodyPose = nil } } } } private func updateFrameRate() { frameCount += 1 let now = Date() let elapsed = now.timeIntervalSince(lastFrameTime) if elapsed >= 1.0 { frameRate = Double(frameCount) / elapsed frameCount = 0 lastFrameTime = now } } } HumanBodyPose3DDetector import Foundation import Vision class HumanBodyPose3DDetector: NSObject, ObservableObject { @Published var humanObservation: HumanBodyPose3DObservation? = nil private let queue = DispatchQueue(label: "humanbodypose.queue") private let request = DetectHumanBodyPose3DRequest() private struct SendablePixelBuffer: @unchecked Sendable { let buffer: CVPixelBuffer } public func runHumanBodyPose3DRequestOnImage(pixelBuffer: CVPixelBuffer, completion: @escaping (HumanBodyPose3DObservation?) -> Void) { let sendableBuffer = SendablePixelBuffer(buffer: pixelBuffer) queue.async { [weak self] in Task { [weak self, sendableBuffer] in do { guard let self = self else { return } let result = try await self.request.perform(on: sendableBuffer.buffer) //process result DispatchQueue.main.async { if result.isEmpty { completion(nil) } else { completion(result[0]) } } } catch { DispatchQueue.main.async { completion(nil) } } } } } }

Issue: In iOS 26 (tested on Developer Beta), AVCaptureMetadataOutputObjectsDelegate no longer receives callbacks when using .face detection. metadataOutput.metadataObjectTypes = [.face]

I'm creating an app that uses AVCaptureSession to pass camera input to AVCaptureMetadataOutput type set [metaout setMetadataObjectTypes:@[AVMetadataObjectTypeFace]] and scan Face. After updating to OS 26 Beta2 and iOS 26 Beta2, an issue has occurred where the delegate method of AVCaptureMetadataOutputObjectsDelegate is not called on some devices. The following devices are experiencing this issue. iPad (9th Gen) iPad air (4th Gen) iPhone 15 This issue has not occur on any other devices I have. I tried running the AVFoundation sample code on the Apple Developer site on the above device. The same problem still occurs. [https://developer.apple.com/documentation/avfoundation/capture_setup/avcambarcode_detecting_barcodes_and_faces] Are any additional settings required after OS 26 beta and iOS 26 beta? Or is there some problem on the OS side?

PLATFORM AND VERSION :iOS 18.5 I wanted to bring to your attention a critical issue some of our production users are experiencing with the CoinOut app. Specifically, users are encountering a problem when attempting to capture photos of receipts using the app's customized camera feature. The camera, which utilizes AVCaptureVideoPreviewLayer and AVCaptureDevice, occasionally fails to load the preview, resulting in a black screen instead of the expected camera view. This camera blackout issue is significantly impacting the user experience as it prevents them from snapping photos of their receipts, which is a core functionality of the CoinOut app. Any help/suggestion to this issue would be greatly appreciated. STEPS TO REPRODUCE Open the app and click on camera icon. It will display camera to capture photo. Camera shows black for few production user's. class ViewController: UIViewController { @IBOutlet private weak var captureButton: UIButton! private var fillLayer: CAShapeLayer! private var previewLayer : AVCaptureVideoPreviewLayer! private var output: AVCapturePhotoOutput! private var device: AVCaptureDevice! private var session : AVCaptureSession! private var highResolutionEnabled: Bool = false private let sessionQueue = DispatchQueue(label: "session queue") override func viewDidLoad() { super.viewDidLoad() setupCamera() customiseUI() } @IBAction func startCamera(sender: UIButton) { didTapTakePhoto() } private func setupCamera() { let session = AVCaptureSession() session.sessionPreset = AVCaptureSession.Preset.high previewLayer = AVCaptureVideoPreviewLayer(session: session) output = AVCapturePhotoOutput() device = AVCaptureDevice.default(.builtInWideAngleCamera, for: AVMediaType.video, position: .back) if let device = self.device{ do{ let input = try AVCaptureDeviceInput(device: device) if session.canAddInput(input){ session.addInput(input)} else { print("\(#fileID):\(#function):\(#line) : Session Input addition failed") } if session.canAddOutput(output){ output.isHighResolutionCaptureEnabled = self.highResolutionEnabled session.addOutput(output) } else { print("\(#fileID):\(#function):\(#line) : Session Input high resolution failed") } previewLayer.videoGravity = .resizeAspectFill previewLayer.session = session sessionQueue.async { session.startRunning() } self.session = session self.session.accessibilityElementIsFocused() try device.lockForConfiguration() if device.isWhiteBalanceModeSupported(AVCaptureDevice.WhiteBalanceMode.autoWhiteBalance) { device.whiteBalanceMode = .autoWhiteBalance } else { print("\(#fileID):\(#function):\(#line) : isWhiteBalanceModeSupported no supported") } if device.isWhiteBalanceModeSupported(AVCaptureDevice.WhiteBalanceMode.continuousAutoWhiteBalance) { device.whiteBalanceMode = .continuousAutoWhiteBalance } else { print("\(#fileID):\(#function):\(#line) : isWhiteBalanceModeSupported no supported") } if device.isFocusModeSupported(.continuousAutoFocus) { device.focusMode = .continuousAutoFocus} else if device.isFocusModeSupported(.autoFocus) { device.focusMode = .autoFocus } device.unlockForConfiguration() } catch { print("\(#fileID):\(#function):\(#line) : \(error.localizedDescription)") } } else { print("\(#fileID):\(#function):\(#line) : Device found as nil") } } private func customiseUI() { let path = UIBezierPath(roundedRect: CGRect(x: 0, y: 0, width: self.view.bounds.width, height: self.view.bounds.height), cornerRadius: 0) let rectangleWidth = view.frame.width - (view.frame.width * 0.16) let x = (view.frame.width - rectangleWidth) / 2 let rectangleHeight = view.frame.height - (view.frame.height * 0.16) let y = (view.frame.height - rectangleHeight) / 2 let roundRect = UIBezierPath(roundedRect: CGRect(x: x, y: y, width: rectangleWidth, height: rectangleHeight), byRoundingCorners:.allCorners, cornerRadii: CGSize(width: 0, height: 0)) roundRect.move(to: CGPoint(x: self.view.center.x , y: self.view.center.y)) path.append(roundRect) path.usesEvenOddFillRule = true fillLayer = CAShapeLayer() fillLayer.path = path.cgPath fillLayer.fillRule = .evenOdd fillLayer.opacity = 0.4 previewLayer.addSublayer(fillLayer) previewLayer.frame = view.bounds view.layer.addSublayer(previewLayer) view.bringSubviewToFront(captureButton) } private func didTapTakePhoto() { let settings = self.getSettings(camera: self.device) if device.isAdjustingFocus { do { try device.lockForConfiguration() device.focusMode = .continuousAutoFocus device.unlockForConfiguration() device.addObserver(self, forKeyPath: "adjustingFocus", options: [.new], context: nil) } catch { print(error) } } else { output.capturePhoto(with: settings, delegate: self) } } func getSettings(camera: AVCaptureDevice) -> AVCapturePhotoSettings { var settings = AVCapturePhotoSettings() if let rawFormat = output.availableRawPhotoPixelFormatTypes.first { settings = AVCapturePhotoSettings(rawPixelFormatType: OSType(rawFormat)) } settings.isHighResolutionPhotoEnabled = self.highResolutionEnabled let previewPixelType = settings.availablePreviewPhotoPixelFormatTypes.first! let previewFormat = [kCVPixelBufferPixelFormatTypeKey as String: previewPixelType] as [String : Any] settings.previewPhotoFormat = previewFormat return settings } } extension ViewController: AVCapturePhotoCaptureDelegate { func photoOutput(_ output: AVCapturePhotoOutput, willCapturePhotoFor resolvedSettings: AVCaptureResolvedPhotoSettings) { AudioServicesDisposeSystemSoundID(1108) } func photoOutput(_ output: AVCapturePhotoOutput, didFinishProcessingPhoto photo: AVCapturePhoto, error: Error?) { guard let data = photo.fileDataRepresentation() else { return } let image = UIImage(data: data)! showImage(cropped: image) } func showImage(cropped: UIImage) { let vc = self.storyboard?.instantiateViewController(withIdentifier: "ImagePreviewViewController") as? ImagePreviewViewController vc?.captured = cropped self.present(vc!, animated: true) } }```

it will use about 300MB memory, it cause a memory peak

Hey, Quick question. I noticed that Adobe's new app, Project Indigo, allows you to open the app using the Camera Control button. However, when your device is locked it just shows this screen: Would this normally be approved by the Appstore approval process? I ask because I would like to do something similar with my camera app. I know that this is not the best user experience, but my apps UI is not built in Swift and I don't have the resources to build the UI again. At least this way the user experience would be improved from what it is now, where users cannot even launch the app. I get many requests per week about this feature and would love to improve the UX for my users, even if it's not the best possible. Thanks, Alex

I'm creating Live Photos programmatically in my app using the Photos and AVFoundation frameworks. While the Live Photos work perfectly in the Photos app (long press shows motion), users cannot set them as motion wallpapers. The system shows "Motion not available" message. Here's my approach for creating Live Photos: // 1. Create video with required metadata let writer = try AVAssetWriter(outputURL: videoURL, fileType: .mov) let contentIdentifier = AVMutableMetadataItem() contentIdentifier.identifier = .quickTimeMetadataContentIdentifier contentIdentifier.value = assetIdentifier as NSString writer.metadata = [contentIdentifier] // Video settings: 882x1920, H.264, 30fps, 2 seconds // Added still-image-time metadata at middle frame // 2. Create HEIC image with asset identifier var makerAppleDict: [String: Any] = [:] makerAppleDict["17"] = assetIdentifier // Required key for Live Photo metadata[kCGImagePropertyMakerAppleDictionary as String] = makerAppleDict // 3. Generate Live Photo PHLivePhoto.request( withResourceFileURLs: [photoURL, videoURL], placeholderImage: nil, targetSize: .zero, contentMode: .aspectFit ) { livePhoto, info in // Success - Live Photo created } // 4. Save to Photos library PHAssetCreationRequest.forAsset().addResource(with: .photo, fileURL: photoURL, options: nil) PHAssetCreationRequest.forAsset().addResource(with: .pairedVideo, fileURL: videoURL, options: nil) What I've Tried Matching exact video specifications from Camera app (882x1920, H.264, 30fps) Adding all documented metadata (content identifier, still-image-time) Testing various video durations (1.5s, 2s, 3s) Different image formats (HEIC, JPEG) Comparing with exiftool against working Live Photos Expected Behavior Live Photos created programmatically should be eligible for motion wallpapers, just like those from the Camera app. Actual Behavior System shows "Motion not available" and only allows setting as static wallpaper. Any insights or workarounds would be greatly appreciated. This is affecting our users who want to use their created content as wallpapers. Questions Are there additional undocumented requirements for Live Photos to be wallpaper-eligible? Is this a deliberate restriction for third-party apps, or a bug? Has anyone successfully created Live Photos that work as motion wallpapers? Environment iOS 17.0 - 18.1 Xcode 16.0 Tested on iPhone 16 Pro

I have a feature requirement: to switch the writer for file writing every 5 minutes, and then quickly merge the last two files. How can I ensure that the merged file is seamlessly combined and that the audio and video information remains synchronized? Currently, the merged video has glitches, and the audio is also out of sync. If there are experts who can provide solutions in this area, I would be extremely grateful.

What options do I have if I don't want to use Blackmagic's Camera ProDock as the external Sync Hardware, but instead I want to create my own USB-C hardware accessory which would show up as an AVExternalSyncDevice on the iPhone 17 Pro? Which protocol does my USB-C device have to implement to show up as an eligible clock device in AVExternalSyncDevice.DiscoverySession?

I tested the accuracy of the depth map on iPhone 12, 13, 14, 15, and 16, and found that the variance of the depth map after iPhone 12 is significantly greater than that of iPhone 12. Enabling depth filtering will cause the depth data to be affected by the previous frame, adding more unnecessary noise, especially when the phone is moving. This is not friendly for high-precision reconstruction. I tried to add depth map smoothing in post-processing to solve the problem of large depth map deviation, but the performance is still poor. Is there any depth map smoothing solutions already announced by Apple?

Hey, I'm having a very strange issue on my iPhone 17 Pro. I'm trying to capture a 12MP ProRAW image using the Telephoto Lens with the photoQualityPrioritization set to .Quality. Unfortunately I receive this error when trying to capture the image: Error Domain=AVFoundationErrorDomain Code=-11800 "The operation could not be completed" UserInfo={NSUnderlyingError=0x134f7a1f0 {Error Domain=NSOSStatusErrorDomain Code=-16802 "(null)"}, NSLocalizedFailureReason=An unknown error occurred (-16802), AVErrorRecordingFailureDomainKey=4, NSLocalizedDescription=The operation could not be completed} The photo captures correctly at 7.9x zoom, it's only a problem when the zoom goes over 8x. Also, it's only this particular configuration of settings which causes the issue. I'm able to capture an image if I either: Set quality to ".balanced" Set max dimensions to 48MP Capture a JPEG image instead of a ProRAW image Use the TripleCamera fusion lens Any help would be greatly appreciated. Alex

I want to fully support the new iPhone models in my app, and ideally need to know the available lenses. However, I can't find information about this on the web and they're not reported in the simulators. The closest thing I found was this, but it's very out of date. https://developer.apple.com/library/archive/documentation/DeviceInformation/Reference/iOSDeviceCompatibility/Cameras/Cameras.html My only other option is to buy each device, which isn't really feasible, or to log the data from real users via an analytics tool which isn't ideal either. Thanks, Alex

When attempting to access a PHAsset that is in the hidden folder of iOS26, the PHFetchResult always returns no items, even when the user has granted full access to photos and even when includeHiddenAssets is true. This is the code suggested by ChatGPT; it always fails: public func fetchAsset(withLocalIdentifier identifier: String) -> PSSPHAssetImplementing? { // First try the direct fetch by identifier (fast path) let directResult = PHAsset.fetchAssets(withLocalIdentifiers: [identifier], options: nil) if let asset = directResult.firstObject { return build(from: asset) } // Fallback: fetch all assets including hidden, then filter manually let options = PHFetchOptions() options.includeHiddenAssets = true let allAssets = PHAsset.fetchAssets(with: options) for index in 0..<allAssets.count { let asset = allAssets.object(at: index) if asset.localIdentifier == identifier { return build(from: asset) } } return nil } Is it no longer possible to retrieve a hidden photo in iOS 26?

Area ImageCaptureCore / ICDeviceBrowser Description On iOS 26.1 beta, calling requestControlAuthorization() requestContentsAuthorization() always returns .notDetermined and never transitions to .authorized or .denied. This prevents apps from properly accessing device control or contents authorization. The issue occurs regardless of device state or prior requests. Steps to Reproduce 1. Create and start an ICDeviceBrowser instance. 2. Call requestControlAuthorization() or requestContentsAuthorization(). 3. Inspect the returned ICAuthorizationStatus. Expected Result • The system should prompt the user if necessary. • A final status of either .authorized or .denied should be returned. Actual Result • The completion handler always reports .notDetermined. • No user prompt appears and the status does not change. Version / Build • iOS 26.1 beta • Xcode Hardware • [iPhone 15 Pro, iPad Pro (M2)] Impact This regression blocks development and testing of features relying on ImageCaptureCore. Applications depending on device browsing and content access cannot proceed, which significantly affects workflows involving external device integration. Notes This appears to be a regression compared to earlier iOS releases.

Hi, We have created an app which allows recording 4K 60 fps videos in the app. We have noted that some time the recording switched to 20 fps (the value 20 is constant) even though the resolution settings is at 4K 60fps. We are using AVCaptureDevice to invoke the camera. has anyone experienced this problem before ? What is unique to 20 fps? Why does it resort to 20 fps from 60 fps and why not to other numbers ?

My implementation of LockedCameraCapture does not launch my app when tapped from locked screen. But when the same widget is in the Control Center, it launches the app successfully. Standard Xcode target template: Lock_Screen_Capture.swift @main struct Lock_Screen_Capture: LockedCameraCaptureExtension { var body: some LockedCameraCaptureExtensionScene { LockedCameraCaptureUIScene { session in Lock_Screen_CaptureViewFinder(session: session) } } } Lock_Screen_CaptureViewFinder.swift: import SwiftUI import UIKit import UniformTypeIdentifiers import LockedCameraCapture struct Lock_Screen_CaptureViewFinder: UIViewControllerRepresentable { let session: LockedCameraCaptureSession var sourceType: UIImagePickerController.SourceType = .camera init(session: LockedCameraCaptureSession) { self.session = session } func makeUIViewController(context: Self.Context) -> UIImagePickerController { let imagePicker = UIImagePickerController() imagePicker.sourceType = sourceType imagePicker.mediaTypes = [UTType.image.identifier, UTType.movie.identifier] imagePicker.cameraDevice = .rear return imagePicker } func updateUIViewController(_ uiViewController: UIImagePickerController, context: Self.Context) { } } Then I have my widget: struct CameraWidgetControl: ControlWidget { var body: some ControlWidgetConfiguration { StaticControlConfiguration( kind: "com.myCompany.myAppName.lock-screen") { ControlWidgetButton(action: MyAppCaptureIntent()) { Label("Capture", systemImage: "camera.shutter.button.fill") } } } } My AppIntent: struct MyAppContext: Codable {} struct MyAppCaptureIntent: CameraCaptureIntent { typealias AppContext = MyAppContext static let title: LocalizedStringResource = "MyAppCaptureIntent" static let description = IntentDescription("Capture photos and videos with MyApp.") @MainActor func perform() async throws -> some IntentResult { .result() } } The Issue LockedCameraCapture Widget does not launch my app when tapped from locked screen. You get the Face ID prompt and takes you to just Home Screen. But when the same widget is in the Control Center, it launches the app successfully. Error Message When tapped on Lock Screen, I get the following error code: LaunchServices: store ‹private > or url ‹private > was nil: Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Attempt to map database failed: permission was denied. This attempt will not be retried. Failed to initialize client context with error Error Domain=NSOSStatusErrorDomain Code=-54 "process may not map database" UserInfo=&NSDebugDescription=process may not map database, _LSLine=72, _LSFunction=_LSServer_GetServerStoreForConnectionWithCompletionHandler} Things I tried Widget image displays correctly App ID and the Provisioning Profile seem to be fine since they work fine when the same code injected in to AVCam sample app and when used the same App ID's. AppIntent file contains the target memberships of the Lock Screen capture and Widget Apple compiles without errors or warnings.

Fundamentally, my questions are: is there a known transform I can apply onto a given (pixel) position (passed into a Metal Fragment Function) to correctly sample a texture provided by the main cameras + processed by a Vision request. If so, what is it? If not, how can I accurately sample my masks? My goal is to highlight people in a Vision Pro app using Compositor Services. To start, I asynchronously receive camera frames for the main left and right cameras. This is the breakdown of the specific CameraVideoFormat I pass along to the CameraFrameProvider: minFrameDuration: 0.03 maxFrameDuration: 0.033333335 frameSize: (1920.0, 1080.0) pixelFormat: 875704422 cameraType: main cameraPositions: [left, right] cameraRectification: mono From each camera frame sample, I extract the left and right buffers (CVReadOnlyPixelBuffer.withUnsafebuffer ==> CVPixelBuffer). I asynchronously process the extracted buffers by performing a VNGeneratePersonSegmentationRequest on both of them: // NOTE: This block of code and all following code blocks contain simplified representations of my code for clarity's sake. var request = VNGeneratePersonSegmentationRequest() request.qualityLevel = .balanced request.outputPixelFormat = kCVPixelFormatType_OneComponent8 ... let lHandler = VNSequenceRequestHandler() let rHandler = VNSequenceRequestHandler() ... func processBuffers() async { try lHandler.perform([request], on: lBuffer) guard let lMask = request.results?.first?.pixelBuffer else {...} try rHandler.perform([request], on: rBuffer) guard let rMask = request.results?.first?.pixelBuffer else {...} appModel.latestPersonMasks = (lMask, rMask) } I store the two resulting CVPixelBuffers in my appModel. For both of these buffers aka grayscale masks: width (in pixels) = 512 height (in pixels) = 384 byters per row = 512 plane count = 0 pixel format type = 1278226488 I am using Compositor Services to render my content in Immersive Space. My implementation of Compositor Services is based off of the same code from Interacting with virtual content blended with passthrough. Within the Shaders.metal, the tint's Fragment Shader is now passed the grayscale masks (converted from CVPixelBuffer to MTLTexture via CVMetalTextureCacheCreateTextureFromImage() at the beginning of the main render pipeline). fragment float4 tintFragmentShader( TintInOut in [[stage_in]], ushort amp_id [[amplification_id]], texture2d<uint> leftMask [[texture(0)]], texture2d<uint> rightMask [[texture(1)]] ) { if (in.color.a <= 0.0) { discard_fragment(); } float2 uv; if (amp_id == 0) { // LEFT uv = ??????????????????????; } else { // RIGHT uv = ??????????????????????; } constexpr sampler linearSampler (mip_filter::linear, mag_filter::linear, min_filter::linear); // Sample the PersonSegmentation grayscale mask float maskValue = 0.0; if (amp_id == 0) { // LEFT if (leftMask.get_width() > 0) { maskValue = rightMask.sample(linearSampler, uv).r; } } else { // RIGHT if (rightMask.get_width() > 0) { maskValue = rightMask.sample(linearSampler, uv).r; } } if (maskValue > 250) { return (1.0, 1.0, 1.0, 0.5) } return in.color; } I need to correctly sample the masks for a given fragment. The LayerRenderer.Layout is set to .layered. From Developer Documentation. A layout that specifies each view’s content as a slice of a single texture. Using the Metal debugger, I know that the final render target texture for each view / eye is 1888 x 1792 pixels, giving an aspect ratio of 59:56. The initial CVPixelBuffer provided by the main left and right cameras is 1920x1080 (16:9). The grayscale CVPixelBuffer returned by the VNPersonSegmentationRequest is 512x384 (4:3). All of these aspect ratios are different. My questions come down to: is there a known transform I can apply onto a given (pixel) position to correctly sample a texture provided by the main cameras + processed by a Vision request. If so, what is it? If not, how can I accurately sample my masks? Within the tint's Vertex Shader, after applying the modelViewProjectionMatrix, I have tried every version I have been able to find that takes the pixel space position (= vertices[vertexID].position.xy) and the viewport size (1888x1792) to compute the correct clip space position (maybe = pixel space position.xy / (viewport size * 0.5)???) of the grayscale masks but nothing has worked. The "highlight" of the person segmentations is off: scaled a little too big, offset little to far up and off to the side.

In what scenario will an app receive the limitExceeded PHPhotosError code? This case was added in iOS 26.1 and is not currently documented. What PhotoKit APIs can encounter this error and how should it be handled?

Problem Description (1) I am using ARKit in an iOS app to provide AR capabilities. Specifically, I'm trying to use the ARSession's captureHighResolutionFrame(using:) method to capture a high-resolution frame along with its corresponding depth data: open func captureHighResolutionFrame(using photoSettings: AVCapturePhotoSettings?) async throws -> ARFrame (2) However, when I attempt to do so, the call fails at runtime with the following error, which I captured from the Xcode debugger: [AVCapturePhotoOutput capturePhotoWithSettings:delegate:] settings.depthDataDeliveryEnabled must be NO if self.isDepthDataDeliveryEnabled is NO Code Snippet Explanation (1) ARConfig and ARSession Initialization The following code configures the ARConfiguration and ARSession. A key part of this setup is setting the videoFormat to the one recommended for high-resolution frame capturing, as suggested by the documentation. func start(imagesDirectory: URL, configuration: Configuration = Configuration()) { // ... basic setup ... let arConfig = ARWorldTrackingConfiguration() arConfig.planeDetection = [.horizontal, .vertical] // Enable various frame semantics for depth and segmentation if ARWorldTrackingConfiguration.supportsFrameSemantics(.smoothedSceneDepth) { arConfig.frameSemantics.insert(.smoothedSceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth) { arConfig.frameSemantics.insert(.sceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.personSegmentationWithDepth) { arConfig.frameSemantics.insert(.personSegmentationWithDepth) } // Set the recommended video format for high-resolution captures if let videoFormat = ARWorldTrackingConfiguration.recommendedVideoFormatForHighResolutionFrameCapturing { arConfig.videoFormat = videoFormat print("Enabled: High-Resolution Frame Capturing by selecting recommended video format.") } arSession.run(arConfig, options: [.resetTracking, .removeExistingAnchors]) // ... } (2) Capturing the High-Resolution Frame The code below is intended to manually trigger the capture of a high-resolution frame. The goal is to obtain both a high-resolution color image and its associated high-resolution depth data. To achieve this, I explicitly set the isDepthDataDeliveryEnabled property of the AVCapturePhotoSettings object to true. func requestImageCapture() async { // ... guard statements ... print("Manual image capture requested.") if #available(iOS 16.0, *) { // Assuming 16.0+ for this API if let defaultSettings = arSession.configuration?.videoFormat.defaultPhotoSettings { // Create a mutable copy from the default settings, as recommended let photoSettings = AVCapturePhotoSettings(from: defaultSettings) // Explicitly enable depth data delivery for this capture request photoSettings.isDepthDataDeliveryEnabled = true do { let highResFrame = try await arSession.captureHighResolutionFrame(using: photoSettings) print("Successfully captured a high-resolution frame.") if let initialDepthData = highResFrame.capturedDepthData { // Process depth data... } else { print("High-resolution frame was captured, but it contains no depth data.") } } catch { // The exception is caught here print("Error capturing high-resolution frame: \(error.localizedDescription)") } } } // ... } Issue Confirmation & Question (1) Through debugging, I have confirmed the following behavior: If I call captureHighResolutionFrame without providing the photoSettings parameter, or if photoSettings.isDepthDataDeliveryEnabled is set to false, the method successfully returns a high-resolution ARFrame, but its capturedDepthData is nil. (2) The error message clearly indicates that settings.depthDataDeliveryEnabled can only be true if the underlying AVCapturePhotoOutput instance's own isDepthDataDeliveryEnabled property is also true. (3) However, within the context of ARKit and ARSession, I cannot find any public API that would allow me to explicitly access and configure the underlying AVCapturePhotoOutput instance that ARSession manages. (4) My question is: Is there a way to configure the ARSession's internal AVCapturePhotoOutput to enable its isDepthDataDeliveryEnabled property? Or, is simultaneously capturing a high-resolution frame and its associated depth data simply not a supported use case in the current ARKit framework?